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Data Complexity and the Value of Surprisal

Publisher IDC
Published Feb 28, 2023
Length 5 Pages
SKU # IDC17783412

Description

Data Complexity and the Value of Surprisal

The complexity of data is an important concept to understand, as it points to a source of value in data and helps explain why organizations are structured the way they are in order to extract this value from increasingly complex data. Bearing this in mind, while it is easier to target technology investments toward low-complexity procedural-type data processes, organizations that focus on managing more complex data containing increasing levels of surprisal, with technologies like AI, machine learning, digital twinning, and so forth, can see economic gains, said Thomas Jackson, research director of IDC's Data Valuation: Industry Perspectives Market Research and Advisory Service.

Please Note: Extended description available upon request.

Table of Contents

5 Pages
Executive Snapshot
Situation Overview
Data Complexity
Data Surprisal = Value
Decision Making in Complex Data Environments
Advice for the Technology Buyer
Learn More
Related Research
Synopsis
How Do Licenses Work?
Head shot

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